Unit Testing for Voice Apps
To make sure your Alexa Skills and Google Actions are robust, we highly recommend testing. Learn how to implement unit tests for your voice apps built with Jovo.
- Introduction to Unit Testing
- Getting Started with the Jovo TestSuite
- Basic Concepts
- Advanced Concepts
Unit Testing is a testing method that allows you to make sure individual units of software work as expected. This way you don't have to manually test every potential interaction of your voice app after any change you do to the code, which not only saves a lot of time, but also gives you some well deserved peace of mind.
The Jovo TestSuite allows you to create unit tests for your Alexa Skills and Google Actions that can either test certain individual features, or even full conversational sequences.
Use the Jovo Unit Testing Template to get started with some first tests.
Here's everything you need to know to get started:
Since Jovo v2, every new Jovo project comes with Jest as dev dependency and sample tests.
You can add Jest as dev dependencies like this:
Unit tests are usually located in a
test folder of your Jovo project. Naming conventions are
This is how a sample
sample.test.js file with a single test for both Amazon Alexa and Google Assistant could look like:
After you've defined some first tests, add the following script to your
This way, you can run the tests with
npm test. Don't forget to first start the Jovo webhook:
Tests can be run for each platform:
After initializing the TestSuite, you can add test groups like this:
Each test contains the following elements:
Each test starts with a conversation:
You can also add certain configurations to the constructor of your
Here is a list of the default configurations of the
You can use the request builder of the
testSuite to build a request. The following request types are supported:
After creating a request with the request builder, you can modify with several helper methods:
You can then used these responses to compare them to expected results (see section Check below):
For more thorough testing, you can use the following advanced concepts:
When you're using the Jovo i18n or CMS integrations, you might not want to make checks with strings like
'Hello World! What\'s your name?' as in the examples above, as the i18n content could change, use different variations, and languages (locales).
The solution for this is to configure the conversation in a way that the CMS only returns the i18n
keys instead of strings (
values), which can later be checked against expected keys.
You can do this by setting the
locale of the conversation to a random string, for example
keys-only, in the conversation configuration:
For example, if you used
this.t('key') in your app logic and now set the conversation locale to
getSpeech() method of the unit test would (if correct) return only
key instead of the string (
value) stored in the CMS.
You can then use the Jest
toMatch method to match it to an expected key:
If your output uses several chained keys (for example by using the SpeechBuild
addT method), you can add them together like this:
As unit tests are run locally, this will save the data into the default FileDB database.
This also allows you to access User Meta Data:
You can also delete the database for this user with the following method: